VOOG — VOOG | S&P 500 Growth ETF 13F holdings and portfolio analysis
登錄後可基於當前選中的策略克隆一個新分支,繼續在新分支裏調整參數與權重。
Baseline
分析消息基於這隻基金最新一期數據預生成的問答,可直接作為對話上下文使用。
Directly following the baseline exposes an investor to a concentrated large-cap growth portfolio dominated by a handful of tech leaders. The top holding is NVIDIA at 15.39%, the top 5 are 44.92%, and the top 10 are 62.53%. Information Technology is 51.82% in the baseline artifact sector view, with Communication Services another 11.42%. The backtest produced a 16.12% annualized return and 338.91% total return, but also a beta of 1.10, 20%+ volatility noted in the artifact weaknesses, and a -32.9% max drawdown. So the exposure is attractive upside from dominant growth franchises, but with meaningful single-name and sector dependence.
The recent baseline periods that best show the trade-off are the weak early-2025 drawdown and the rebound that followed. In 2025-01-31 the baseline returned -4.19% versus SPY at -2.79% (-1.40 pts excess), and in 2025-02-28 it lost -8.46% versus SPY at -6.48% (-1.97 pts excess). That shows the cost of a beta-1.10 growth portfolio when leadership breaks. The rebound came in 2025-03-31 with +2.00% versus SPY -0.91% (+2.90 pts excess) and 2025-04-30 with +9.49% versus SPY +6.28% (+3.20 pts excess). Later periods such as 2025-07-31 (-1.70 pts excess) and 2025-10-31 (-1.94 pts excess) show that concentration can still hurt when momentum narrows or reverses. These swings explain why return is strong over time but drawdown and tracking risk remain meaningful.
Before accepting the baseline, the next things to inspect are concentration, implementation frictions, and whether recent changes fit your risk tolerance. The artifact shows 31,702 trades and totalEstimatedCost of 2.5324, plus turnover spikes such as 49.74 in 2024-12-31 and 40.34 in 2025-12-31. It also shows top-10 concentration at 62.53% and a top single-name weight above 15%. On the holdings side, major increases in Microsoft (+5.88 pts) and NVIDIA (+1.01 pts) amplified tech dependence, while several defensive names were exited. If those concentration and turnover patterns are uncomfortable, the baseline may not match the user’s preferred path even if long-run return is strong.